Design and Performance Evaluation of Air Induction (AI) Nozzles to Reduce Drift Potential for Agricultural Unmanned Aerial Vehicles (UAVs)

Abstract The COVID-19 pandemic has laid bare the need for contactless operations. While unmanned aerial vehicles (UAVs) are being developed to aid humans in countless domains, the need for effective battery management and performance optimization remains a huge task. The proposed solution, the “AeroDock”, aims to tackle these challenges by using wireless power transfer (WPT) technology coupled with smart monitoring of the drone’s health. The performance and hardware checks are assessed at the user end via cloud computing and IoT technology. This system is contact-less, safe, reliable and its usage is not affected by external factors. Thus, the AeroDock is a smart docking station for UAVs which eliminates the need for human intervention in effective charging and maintenance.

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Performance evaluation of low resolution visual tracking for unmanned aerial vehicles

Neural Computing and Applications ◽

10.1007/s00521-020-05067-3 ◽

2020 ◽

Author(s):

Yong Wang ◽

Xian Wei ◽

Hao Shen ◽

Jilin Hu ◽

Lingkun Luo

Keyword(s):

Performance Evaluation ◽

Unmanned Aerial Vehicles ◽

Visual Tracking ◽

Low Resolution ◽

Aerial Vehicles

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Presenting an Effective Method to Detect and Track the Broken Path in VANET Using UAVs

Wireless Communications and Mobile Computing ◽

10.1155/2020/8887285 ◽

2020 ◽

Vol 2020 ◽

pp. 1-12

Author(s):

Zohreh Bakhtiari ◽

Rozita Jamili Oskouei ◽

Mona Soleymani ◽

Akhtar Hussain Jalbani

Keyword(s):

Cloud Computing ◽

Unmanned Aerial Vehicles ◽

Urban Areas ◽

Vehicular Ad Hoc Networks ◽

Ad Hoc ◽

High Mobility ◽

Geographic Routing ◽

Negative Influence ◽

Aerial Vehicles ◽

And Performance

The routing process in vehicular ad hoc networks (VANETs) is a challenging task in urban areas which is due to the high mobility of vehicles, repetitive defects of the communication path, and the various barriers that may affect the reliability of data transmission and routing. Accordingly, the connectivity in vehicular communications has received the researchers’ attention, so different geographic routing protocols have been proposed in this respect. Unmanned aerial vehicles (UAVs) are useful for overcoming routing constraints. Cloud computing has also been defined as a new infrastructure for VANET which is made up of a significant number of computing nodes including stable data centers as well as a set of mobile computing devices embedded on vehicles. The aim of this research is to simulate a VANET in an urban area using cloud computing infrastructure and applying unmanned aerial vehicles (UAV) so that the negative influence of barriers in packet delivery and routing is avoided. To evaluate, the proposed method is compared with the basic protocol ClouDiV. Ns-2 simulation results show that the proposed method outperforms with different densities and variable times in terms of efficiency and performance.

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